Short and sweet ❤️❤️

excellent video, no time wasted

Thanks 🙏🏽

Great job, keep going

Great explanation, I think that the eamples with a real abstraction, they are really good. Regards from Spain.

Can you do one related to predicting trends in the stock market please

Hi Alice I Love your Udemy courses. I would like to ask you if you already know when you will publish the nlp course for Python 😊

I think you should speed up the video, its still understandable

Which Maven Udemy Excel course would you recommend for a beginner looking to get Into Data Analysis?

It's nice to have all of it laid out so clearly 👍

I really enjoyed the video, especially the heatmap. However, since the video was uploaded, the dataset has changed. Instead of a timestamp column, the dataset now contains separate date and time columns, which require a different transformation compared to the video. 1. Combine and transform into a datetime column. 2. Insert the new column at the beginning. 3. Finally, delete the date and time columns. my solution to transform: orders_df = pd.read_csv("data/order_details.csv") # Combine date and time into a timestamp column with explicit formatting to prevent UserWarning order_timestamp = pd.to_datetime(orders_df["order_date"] + " " + orders_df["order_time"], format="%m/%d/%y %I:%M:%S %p") # insert timestamp to the beginning orders_df.insert(0, "order_timestamp", order_timestamp) # delete date and time cols orders_df = orders_df.drop(["order_date", "order_time"], axis= 1)

Thank you for covering the topic it helped me clear the concept of window function

I would love to see the opposite: data model de-normalization for Power BI star schemas.

Is the work life balance worth pursuing data science

loved it.

Your examples were easy to follow and very clear. You definitely have a gift for explaining complex things in a easy to understand way. Great job Alice.

Sir i swear this really helps me alot thank you very much !

Thank you, such a soothing video and straight to the point - More Grease !!!

Absolutely amazing

You're amazing! Thank you! :)

thank you very much for your initiative. I follow your step-by-step instructions and I learn new skill to improve my data analytic.

Important Question, how did you calculate the mean and standard deviation?

Is this a pilot? Looking forward to this show getting picked up for a full season. Can we call it Miss U’s Data Goes Nowhere?

👍👍

I will love if the link for the data set is available to download,for practice.

How do achieve this when using a direct query?

😂😂😂

😅😂

😂😂😂😂

😂😂

love it.

Thanks for the lecture. Very informative. I've been trying to get to solve problem with the Simple Image app all day today and I can't do it. For some reason, it doesn't even want to display images that I've uploaded to Google Drive or locally on my computer (and created a link to). What could be the reasons why it's not working for me at all? I downloaded their sample and saw that even in their example, images with only a url are not displayed, but images with the type "data:image/png;base64....." are displayed correctly and beautifully. What are the problems and how can I fix them?

You should stop making videos

Thank you very much for your incredible effort

Fire your social media manager.

thanks

that what I'm struggle write now, I need to build a great portfolio,

Of cause if you have all basics of Excel power BI may be easier to you to understand

Great Summary!

I thing I'll add power pivot aand connection

Awesome Explaination🔥🔥

get data, you get one result, and i get 20 !

The best and most sincere video about AI in data

The interview with Madison was very heplful, thank you!

Really enjoyed this tutorial. Having used Excel for may years and still feel like a newbie, despite being proficient in Power Query etc. Google Sheets easy use of formats, pivot tables and charts was a game changer. Now Microsoft up your game and make excel a bit more user friendly :-) Thanks Enrique.

Best Explanation at all.Proved such a helpful for me.

Simple, concise and very useful thank you

Please tell us more about data governance & management roles in details

normalization is nice, but at the end of the day, computers are so powerful, it has lost its edge. its a good video none the less.

ঞ😊😊